Authors : D. Pravin Kumar; Alageshwaran P.; Ayyanar K.; Gokul M. S.

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/3v8cpebd

Scribd : https://tinyurl.com/48bwaves

DOI : https://doi.org/10.38124/ijisrt/26mar1706

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The AI-powered adaptive e-learning platform is a production-ready system designed to deliver personalized and intelligent learning experiences using advanced Large Language Models, specifically Google Gemini. The platform dynamically generates customized learning roadmaps and adaptive quizzes based on individual user performance, learning pace, and preferences. It integrates a modern frontend developed using React (Vite) with a scalable backend built on Node.js and Express.js, supported by a PostgreSQL database. The system ensures secure authentication using JWT and bcrypt while enhancing user engagement through gamification features such as XP rewards, streak tracking, and real-time progress monitoring. Additionally, it includes advanced analytics for tracking user growth, performance trends, and course completion rates, along with automated PDF certificate generation. This system overcomes the limitations of traditional elearning platforms by providing a scalable, interactive, and AI-driven personalized learning environment..

Keywords : Artificial Intelligence; Adaptive E-Learning; Personalized Learning; Large Language Models (LLM); Google Gemini API; Learning Analytics; Intelligent Tutoring System; Dynamic Quiz Generation; Skill Assessment; Gamification; Web-Based Learning Platform; Recommendation System; Student Performance Analysis; JWT Authentication; Educational Technology.

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